2,4,6- Ttrichloroanisol:a consumer panel evaluation

“Cork taint” is a major problem in wine industry and is caused by contamination of wines. This contamination is usually attributed to wine cork stoppers and 2,4,6-trichloroanisole (2,4,6-TCA) is one of the compounds mostly associated to this off-flavour. In this work, a consumer panel performed “forced choice” triangular tests in order to measure Odour Detection Thresholds (ODT) and Taste Detection Thresholds (TDT) of 2,4,6-TCA in water, hydro-alcoholic solutions (11.5% and 18% ethanol) and white and red wines. A paired preference test was also performed by the panel in order to measure Odour Rejection Threshold (ORT) in white and red wine spiked with 2,4,6-TCA. Results obtained show that the ODT and the TDT for 2,4,6-TCA in water were 0.2 and 0.3 ng/L, respectively. In hydro-alcoholic solutions with 11.5% and 18% ethanol the ODT were 4 and 10 ng/L respectively. In red wine the ODT and the TDT were 0.9 and 1.7 ng/L and in white wine were 1.5 and 1.0 ng/L respectively. ORT for white was 10.4 ng/L and for red wines 16.0 ng/L. These results suggest that although this group of consumers detected very low concentrations of 2,4,6-TCA in wines, they did not reject the wine at these low concentration values.

Efeito da exposição às temperaturas extremas na população portuguesa - um contributo da epidemiologia

Backgroud: O International Panel on Climate Change prevê que o aumento da temperatura média global, até ao ano de 2100, varie entre 1,4 e 5,8ºC desconhecendo-se a evolução da adaptação da população a esta subida da temperatura. Em Portugal morre-se mais no Inverno que no Verão. Mas existem evidências de repercussões na mortalidade atribuíveis ao calor extremo. Este estudo procura conhecer os grupos etários e/ou populacionais que parecem revelar vulnerabilidade acrescida à exposição a temperaturas extremas e identificar indicadores de saúde apropriados para revelar esses mesmos efeitos. Métodos: Foram analisados dados de internamentos hospitalar e mortalidade por doenças cardiovasculares, respiratórias, renais, efeitos directos do frio e do calor, na população com 75 e mais anos de idade, nos distritos de Beja, Bragança e Faro, nos meses de Janeiro e Junho. Para os dados de morbilidade o período de análise foi 2002 a 2005 e para os de mortalidade de 2002 a 2004. Os dados meteorológicos analisados corresponderam aos valores da temperatura máxima e percentis da temperatura máxima, nos meses de Janeiro (P10) e Junho (P90). Os excessos de internamentos hospitalares, definidos como os dias em que ocorreram internamentos acima do valor da média mais 2 desvio padrão, foram relacionados com a distribuição das temperaturas extremas (frias abaixo do P10, quentes acima do P90.Os dias com óbitos acima do valor da média foram relacionados com a distribuição das temperaturas extremas (frias abaixo do P10, quentes acima do P90). Os indicadores propostos foram baseados em Odds Ratios e intervalos de confiança que sugeriam as estimativas mais precisas. Resultados: O grupo que revelou maior vulnerabilidade às temperaturas extremas foi o grupo dos 75 e mais anos, com doenças cardiovasculares quando exposto a temperaturas extremas, nos 3 distritos observados.O nº de dias de excesso de óbitos por doenças cardiovasculares relacionados com temperaturas extremas foi o mais elevado comparado com as restantes causas de morte. O grupo etário dos 75 e mais anos com de doenças respiratórias também é vulnerável, às temperaturas extremas frias, nos 3 distritos. Verificaram-se dias de excessos de internamentos hospitalares e óbitos por esta causa de morte, relacionados com a exposição às temperaturas extremas frias. Em Junho, não se verificou excesso de mortalidade associado à exposição a temperaturas extremas por esta causa, em qualquer dos distritos analisados. Apenas se verificou a associação entre os dias de ocorrência de internamentos hospitalares por doenças renais e o calor extremo, em Bragança. Conclusões: Foram encontradas associações estatísticas significativas entre dias de excesso de ocorrência de internamentos hospitalares ou óbitos por causa e exposição a temperaturas extremas frias e quentes possibilitando a identificação de um conjunto de indicadores de saúde ambiental apropriados para monitorizar a evolução dos padrões de morbilidade, mortalidade e susceptibilidade das populações ao longo do tempo.-------------------- Backgroud: International Panel on Climate Change estimates that the rise of mean global temperature varies between 1,4 e 5,8ºC until 2100, with unknowing evolution adaptation of populations. In Portugal we die more in Winter than in Summer time. But there are several evidences of mortality attributable to extreme eat. The proposal of this study is to know the age and/or populations groups that reveal more vulnerability to exposure to extreme temperature and identifying proper health indicators to reveal those effects. Methods: Data from hospital admissions and mortality caused by cardiovascular, respiratory, renal diseases and direct effects from direct exposure to extreme cold and heat, in population with 75 and more years, in Beja, Bragança and Faro districts, during January and June, were analysed. Analysis period for morbidity data was from 2002 to 2005 and form mortality was 2002 to 2004. Meteorological data analysed were maximum temperature and percentile of maximum temperature, from January (P10) and June (P90. Relationship between excess of hospital admission, defined as the days that occurred hospital admissions above mean value more 2 standards desviation and distribution of extreme temperatures were established (cold under P10 and heat above P90. Proposal indicators were based on Odds Ratios and confidence intervals, suggesting the most precises estimatives. Results: The most vulnerable group to extreme temperature were people with 75 or more years older with cardiovascular diseases, observed in the 3 districts. Number of days caused by excess cardiovascular mortality and extreme temperature were the most number of days between the other causes. The group with 75 or more years old with respiratory diseases is vulnerable too, especially to cold extreme temperature, in all the 3 districts. There were excess of days of hospital admissions and days with deaths, for this cause relating to extreme cold temperature. In June, does not funded excess of mortality associated to extreme temperature by this cause in any district of the in observation. Just was found relationship between days of hospital admissions caused by renal diseases in Bragança in days with extreme heat. Conclusions: Were found statistically significant associations between days of excess of hospital admissions or deaths and exposure to extreme cold and heat temperatures giving the possibility of identifying a core of environmental indicators proper to monitoring patterns and trends evolutions on morbidity, mortality and susceptibly of populations for a long time.

Spectral and coherence estimates on electroencephalogram recordings during arithmetical tasks

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Engenharia Biomédica

Returns to vocational education in Portugal

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

A solution for estimates in software development projects

The Corporate world is becoming more and more competitive. This leads organisations to adapt to this reality, by adopting more efficient processes, which result in a decrease in cost as well as an increase of product quality. One of these processes consists in making proposals to clients, which necessarily include a cost estimation of the project. This estimation is the main focus of this project. In particular, one of the goals is to evaluate which estimation models fit the Altran Portugal software factory the most, the organization where the fieldwork of this thesis will be carried out. There is no broad agreement about which is the type of estimation model more suitable to be used in software projects. Concerning contexts where there is plenty of objective information available to be used as input to an estimation model, model-based methods usually yield better results than the expert judgment. However, what happens more frequently is not having this volume and quality of information, which has a negative impact in the model-based methods performance, favouring the usage of expert judgement. In practice, most organisations use expert judgment, making themselves dependent on the expert. A common problem found is that the performance of the expert’s estimation depends on his previous experience with identical projects. This means that when new types of projects arrive, the estimation will have an unpredictable accuracy. Moreover, different experts will make different estimates, based on their individual experience. As a result, the company will not directly attain a continuous growing knowledge about how the estimate should be carried. Estimation models depend on the input information collected from previous projects, the size of the project database and the resources available. Altran currently does not store the input information from previous projects in a systematic way. It has a small project database and a team of experts. Our work is targeted to companies that operate in similar contexts. We start by gathering information from the organisation in order to identify which estimation approaches can be applied considering the organization’s context. A gap analysis is used to understand what type of information the company would have to collect so that other approaches would become available. Based on our assessment, in our opinion, expert judgment is the most adequate approach for Altran Portugal, in the current context. We analysed past development and evolution projects from Altran Portugal and assessed their estimates. This resulted in the identification of common estimation deviations, errors, and patterns, which lead to the proposal of metrics to help estimators produce estimates leveraging past projects quantitative and qualitative information in a convenient way. This dissertation aims to contribute to more realistic estimates, by identifying shortcomings in the current estimation process and supporting the self-improvement of the process, by gathering as much relevant information as possible from each finished project.

Relationship between national culture, democracy and environmental performance: A panel data analysis

This paper demonstrates the significance of culture in examining the relationshipbetween democratic capital and environmental performance.The aim is to examine the relationship among scores on the Environmental Performance Index and the two dimensions of cross cultural variation suggested by Ronald Inglehart and Christian Welzel. Significantional interrelationships among democracy, cultural and environmental sustaintability measures could be found, following the regression results. Firstly, higher levels of democratic capital stock are associated with better environmental performance. Secondly importance to distinguish between cultural groups could be confirmed.

Bias in returns to tenure when firm wages and employment comove: A quantitative assessment and solution

It is well known that, unless worker-firm match quality is controlled for, returns to firm tenure (RTT) estimated directly via reduced form wage (Mincer) equations will be biased. In this paper we show that even if match quality is properly controlled for there is a further pervasive source of bias, namely the co-movement of firm employment and firm wages. In a simple mechanical model where human capital is absent and separation is exogenous we show that positively covarying shocks (either aggregate or firm level) to firms employment and wages cause downward bias in OLS regression estimates of RTT. We show that the long established procedures for dealing with "traditional" RTT bias do not circumvent the additional problem we have identified. We argue that if a reduced form estimation of RTT is undertaken, firm-year fixed effects must be added in order to eliminate this bias. Estimates from two large panel datasets from Portugal and Germany show that the bias is empirically important. Adding firm-year fixed effects to the regression increases estimates of RTT in the two respective countries by between 3.5% and 4.5% of wages at 20 years of tenure over 80% (50%) of the estimated RTT level itself. The results extend to tenure correlates used in macroeconomics such as the minimum unemployment rate since joining the firm. Adding firm-year fixed effects changes estimates of these effects also.